Shimo Docs MCP. Manage every file and audit log without opening a browser.

Listen up. Shimo Docs connects your AI agent right into a professional document management system—a full-blown corporate file cabinet. Forget clicking around web interfaces or wrestling with folder permissions; your agent treats this whole thing like simple data endpoints, and it's slick.

When you hook up your client to this server, you get total control over your company docs. You don't need to know the complex directory path for a file; your agent handles that mess for you using direct tool calls. This means your AI can manage everything from creating brand new documents to auditing who touched what last week.

To handle the whole lifecycle of your assets, your agent uses create_file to build a fresh document—whether it's a Word file, an Excel sheet, or a PowerPoint equivalent—and gets you that crucial file ID right off the bat. If you need to convert one of those existing Shimo Docs into something standard for sharing, say a PDF or DOCX, it runs export_file.

To check what a specific asset is all about, even if you know its file ID, your agent calls get_file and pulls back all the metadata details. If you've got external data—like a raw CSV dump from accounting or some text notes—you use import_file to ingest that stuff and stick it into an editable Shimo Doc for collaboration.

Mapping out what’s where is another thing your agent nails. If you gotta know exactly what folders exist in the system, it runs list_folders. To see every single file ID currently living in your whole account, no matter how deep it is, it just executes list_files. For a granular view of one specific folder—the actual contents and sub-folders inside that parent path—it hits up get_folder_content.

On the organizational side, your agent keeps tabs on who's doing what. To get an exhaustive list of every user account registered in the organization, complete with roles and IDs, it runs list_users. For high-level compliance checks or just knowing how big the operation is, it uses get_org_info to pull back metadata about the whole company, like the main name and primary contact details.

And when you gotta know if someone accessed a file, who changed permissions, or what happened across the workspace, your agent runs list_audit_logs. This spits out a detailed history, showing exactly who did what and when.

It's all about structure and compliance. You can use the tools to run deep audits using list_audit_logs that gives you a chronological record of activity across the entire workspace. For navigating your data, it maps out every top-level or sub-folder path with list_folders and lets your agent list every single file ID in the whole system via list_files.

If you need to know what specific files are sitting inside one folder, it runs get_folder_content.

When it comes to keeping everything current, if you've got external content—say a massive spreadsheet dump—you feed it directly into an existing document using import_file, so your team doesn't lose time manually transferring data. Need to make something new for the next quarter's budget? You use create_file and get that file ID instantly.

If you need to review what details are attached to a known asset, it fetches those specifics with get_file. For checking organizational standing, your agent confirms user roles by calling list_users, or checks overall metadata compliance using get_org_info. The whole setup lets your AI client manage the entire file lifecycle—creation, retrieval, export via export_file, and ingestion—all without you ever touching a web browser.

It keeps all that corporate data organized.